textbook-vectorization
Pass
Audited by Gen Agent Trust Hub on Jun 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses well-known and standard Python libraries for its core functionality:
pypdffor text extraction from PDF files.sentence-transformersfor generating vector embeddings using local models.numpyfor mathematical operations like cosine similarity.openai(optional) for cloud-based embeddings.
- [COMMAND_EXECUTION]: The skill provides scripts that are intended for local execution by the user to process textbooks. The commands provided are standard development workflows (e.g.,
uv run,uv add). - [DATA_EXFILTRATION]: No evidence of unauthorized data transmission was found. The skill processes local PDF files and writes results to a local JSON file within the project structure. Use of the OpenAI API for embeddings is a standard and documented feature of the skill.
- [PROMPT_INJECTION]: No prompt injection or bypass patterns were detected in the instructions or metadata.
Audit Metadata